Asian-Australasian Journal of Animal Sciences

Asian Australasian Association of Animal Production Societies (아세아태평양축산학회)
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Indigenous Thai Beef Cattle Breeding Scheme Incorporating Indirect Measures of Adaptation: Sensitivity to Changes in Heritabilities of and Genetic Correlations between Adaptation Traits

  • Kahi, A.K. (Department of Animal Science, Egerton University) ;
  • Graser, H.U. (Animal Genetics and Breeding Unit (AGBU), University of New England)
  • Received : 2003.05.21
  • Accepted : 2004.04.19
  • Published : 2004.08.01
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Abstract

A model Indigenous Thai beef cattle breeding structure consisting of nucleus, multiplier and commercial units was used to evaluate the effect of changes in heritabilities of and genetic correlations between adaptation traits on genetic gain and profitability. A breeding objective that incorporated adaptation was considered. Two scenarios for improving both the production and the adaptation of animals where also compared in terms of their genetic and economic efficiency. A base scenario was modelled where selection is for production traits and adaptation is assumed to be under the forces of natural selection. The second scenario (+Adaptation) included all the information available for base scenario with the addition of indirect measures of adaptation. These measures included tick count (TICK), faecal egg count (FEC) and rectal temperature (RECT). Therefore, the main difference between these scenarios was seen in the records available for use as selection criteria and hence the level of investments. Additional genetic gain and profitability was generated through incorporating indirect measures of adaptation as criteria measured in the breeding program. Unsurprisingly, the results were sensitive to the changes in heritabilities and genetic correlations between adaptation traits. However, there were more changes in the genetic gain and profitability of the breeding program when the genetic correlations of adaptation and its indirect measures were varied than when the correlations between these measures were. The changes in the magnitudes of the genetic gain and profit per cow stresses the importance of using reliable estimates of these traits in any breeding program.

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References

  1. Archer, J. A., S. A. Barwick and H.-U. Graser. 2004. Economic evaluation of beef cattle breeding schemes incorporating performance testing of young bulls for feed intake. Aust. J. Expt. Agri. 44:(4,5).
  2. Baik, D. H., M. A. Hoque and H. S. Choe. 2002. Estimation of Genetic and Environmental Parameters of Carcass Traits in Hanwoo (Korean Native Cattle) Populations. Asian-Aust. J. Anim. Sci. 15(11):1523-1526.
  3. Baker, R. L. and J. E. O. Rege. 1994. Genetic resistance to disease and other stresses in improvement of ruminant livestock in the tropics. Proc. 5th World Congr. Genet. Appl. Livest. Prod. 20:405-410.
  4. Barwick, S. A., H.-U. Graser and J. A. Archer. 1999. Recording new beef performance measures: Effects on the accuracy of selection for profitability. Proc. Aust. Assoc. Advmt. Anim. Breed. Genet. 13:203-206.
  5. Burrow, H. M., G. W. Seifert and N. J. Corbet. 1988. A new technique for measuring temperament in cattle. Proc. Aust. Soc. Anim. Prod. 17:154-157.
  6. Burrow, H. M. 1999. Genetic analysis of temperament and its relationship with productive and adaptive traits in tropical beef cattle. Ph. D. thesis, University of New England, Armidale, Australia.
  7. Burrow, H. M. 1997. Measurements of temperament and their relationships with performance traits of beef cattle. Anim. Breed. Abstr. 65:477-495.
  8. Burrow, H. M. 2001. Variances and covariances between roductive and adaptive traits and temperament in a composite breed of tropical beef cattle. Livest. Prod. Sci. 70:213-233. https://doi.org/10.1016/S0301-6226(01)00178-6
  9. Davis, G. P. 1993. Genetic parameters for tropical beef cattle in northern Australia: a review. Aust. J. Agric. Res. 44:179-198. https://doi.org/10.1071/AR9930179
  10. Fordyce, G., C. J. Howitt, R. G. Holroyd, P. K. O’Rourke and K. W. Entwistle. 1996. The performance of Brahman-Shorthorn and Sahiwal-Shorthorn beef cattle in the dry tropics of northern Queensland. 5. Scrotal circumference, temperament, ectoparasite resistance, and the genetics of growth and other traits in bulls. Aust. J. Exp. Agric. 36:9-17.
  11. Franklin, I. R. 1986. Breeding ruminants for the tropics. 3rd World Congr. Genet. Appl. Livest. Prod. 11:451-461.
  12. Hazel, L. N., D. E. Dickerson and A. F. Freeman. 1994. The selection index-Then, now and for the future. J. Dairy Sci. 77:3236-3251.
  13. Hill, W. G. 1974. Prediction and evaluation of response to selection with overlapping generations. Anim. Prod. 18:117-139. https://doi.org/10.1017/S0003356100017372
  14. Intarathum, W., A. Na-Chiangmai and H.-U. Graser. 2002. Population structure of Thai indigenous cattle for national breeding improvement strategy. Proc. 7th World Cong. Genet. Appl. Livest Prod. 33:381-384.
  15. Kahi, A. K. 2000. Genetic and economic aspects of breeding for dairy production in Kenya. Dissertation, University of Hohenheim, Stuttgart, Germany.
  16. Kahi, A. K. and G. Nitter. 2004. Developing breeding schemes for pasture based dairy production systems in Kenya. I. Derivation of economic values using profit functions. Livest. Prod. Sci. (in press).
  17. Karras, E., E. Niebel, H.-U. Graser, H. Bartenschlager and G. Nitter. 1997. ZPLAN. A computer program to optimise livestock selection schemes. Hohenheim University, Germany. Koots,
  18. K. R., J. P. Gibson and J. W. Walton. 1994b. Analyses of published genetic parameter estimates for beef production traits. 2. Phenotypic and genetic correlations. Anim. Breed. Abst. 62:825-853.
  19. Koots, K. R., J. P. Gibson, C. Smith and J. W. Walton. 1994a. Analyses of published genetic parameter estimates for beef production traits. 1. Heritability. Anim. Breed. Abst. 62:309-338.
  20. Mackinnon, M. J., N. J. Corbert, K. Meyer, H. M. Burrow, R. P. Bryan and D. J. S. Hetzel. 1991b. Genetic parameters for testosterone response to GnRH stimulation and scrotal circumference in tropical beef bulls. Livest. Prod. Sci. 29:297-309.
  21. Mackinnon, M. J., K. Meyer and D. J. S. Hetzel. 1991a. Genetic variation and covariation for growth, parasite resistance and heat tolerance in tropical cattle. Livest. Prod. Sci. 27:105-122.
  22. Nitter, G., H.-U. Graser and S. A. Barwick. 1994. Evaluation of advanced industry breeding schemes for Australian Beef Cattle. II. Methods of evaluation and analysis for an example population structure. Aust. J. Agric. Res. 45:1641-1656.
  23. Roberts, F. H. S. and P. J. O’Sullivan. 1950. Methods for egg counts and larval cultures for strongyles infesting the gastrointestinal tract of cattle. Aust. J. Agric. Res. 1:99-102.
  24. Wharton, R. H. and K. B. W. Utech. 1970. The relation between engorgement and dropping of Boophilus microplus (Canestrini Ixodidae) to the assessment of tick numbers on cattle. J. Aust. Entomol. Soc. 9:171-182.

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